[HTML][HTML] Artificial intelligence in liver diseases: Improving diagnostics, prognostics and response prediction
D Nam, J Chapiro, V Paradis, TP Seraphin, JN Kather - Jhep Reports, 2022 - Elsevier
Clinical routine in hepatology involves the diagnosis and treatment of a wide spectrum of
metabolic, infectious, autoimmune and neoplastic diseases. Clinicians integrate qualitative …
metabolic, infectious, autoimmune and neoplastic diseases. Clinicians integrate qualitative …
Prime time for artificial intelligence in interventional radiology
Abstract Machine learning techniques, also known as artificial intelligence (AI), is about to
dramatically change workflow and diagnostic capabilities in diagnostic radiology. The …
dramatically change workflow and diagnostic capabilities in diagnostic radiology. The …
Role of machine learning and artificial intelligence in interventional oncology
B D'Amore, S Smolinski-Zhao, D Daye… - Current Oncology …, 2021 - Springer
Purpose of review The purpose of this review is to highlight the current role of machine
learning and artificial intelligence and in the field of interventional oncology. Recent findings …
learning and artificial intelligence and in the field of interventional oncology. Recent findings …
Artificial intelligence in liver imaging: methods and applications
Liver disease is regarded as one of the major health threats to humans. Radiographic
assessments hold promise in terms of addressing the current demands for precisely …
assessments hold promise in terms of addressing the current demands for precisely …
[HTML][HTML] Efficacy and interpretability analysis of noninvasive imaging based on computed tomography in patients with hepatocellular carcinoma after initial transarterial …
Y Dai, D Liu, Y Xin, Y Li, D Wang, B He, X Zeng, J Li… - Academic …, 2023 - Elsevier
Rationale and Objectives The objective of this study is to accurately and timely assess the
efficacy of patients with hepatocellular carcinoma (HCC) after the initial transarterial …
efficacy of patients with hepatocellular carcinoma (HCC) after the initial transarterial …
CT-based radiomics nomogram to predict proliferative hepatocellular carcinoma and explore the tumor microenvironment
G Wang, F Ding, K Chen, Z Liang, P Han… - Journal of Translational …, 2024 - Springer
Abstract Background Proliferative hepatocellular carcinomas (HCCs) is a class of
aggressive tumors with poor prognosis. We aimed to construct a computed tomography (CT) …
aggressive tumors with poor prognosis. We aimed to construct a computed tomography (CT) …